摘要
青少年抑郁作为日益严重的全球公共卫生问题,传统筛查方法及干预模式仍存在主观性强、识别效率低等不足,而人工智能技术在该领域的创新应用为突破传统方法瓶颈提供了新思路。本文从识别技术、干预方式及现存挑战3个方面系统梳理了国内外相关文献,旨在为青少年抑郁的早期筛查和干预提供理论参考。当前该领域仍面临研究对象局限、样本量小、缺乏应用验证等挑战,未来需着力推动基于人工智能技术的青少年抑郁识别与干预研究向多模态融合、智能化干预及应用场景转化的方向发展。
Adolescent depression has emerged as an increasingly serious global public health issue.However,traditional identification methods and intervention models still have such drawbacks as strong subjectivity and low identification efficiency.The innovative application of artificial intelligence technology in this field provides new insights for breaking through the bottlenecks of traditional methods.This paper systematically reviews relevant domestic and international literature from three aspects:identification technologies,intervention methods,and existing challenges,aiming to provide a theoretical reference for the early identification and intervention of adolescent depression.Currently,the field is still confronted with challenges,including limited research subjects,small sample sizes,and lack of application verification.In the future,efforts should be made to promote the research on artificial intelligence-based identification and intervention of adolescent depression towards the directions of multimodal integration,intelligent intervention,and transformation of application scenarios.
作者
朱文迪
王欣
汤佳雯
张锡彦
杨婕
ZHU Wendi;WANG Xin;TANG Jiawen;ZHANG Xiyan;YANG Jie(School of Public Health,Nanjing Medical University,Nanjing 211166,Jiangsu,China;Jiangsu Provincial Center for Disease Control and Prevention,Nanjing 210009,Jiangsu,China)
出处
《中国校医》
2025年第11期816-821,共6页
Chinese Journal of School Doctor
基金
江苏省社会科学基金项目(24SHB005)。
关键词
人工智能
青少年
抑郁症状
筛查
干预
Artificial intelligence
Adolescents
Depressive symptoms
Identification
Intervention
